Zobrazeno 1 - 10
of 4 573
pro vyhledávání: '"Juniper, A"'
Autor:
Hébert-Dufresne, Laurent, Landry, Nicholas W., Lovato, Juniper, St-Onge, Jonathan, Young, Jean-Gabriel, Couture-Ménard, Marie-Ève, Bernatchez, Stéphane, Choquette, Catherine, Cohen, Alan A.
Democratic governments comprise a subset of a population whose goal is to produce coherent decisions that solve societal challenges while respecting the will of the people they represent. New governance frameworks represent this problem as a social n
Externí odkaz:
http://arxiv.org/abs/2412.03421
Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality
Autor:
Hébert-Dufresne, Laurent, Lovato, Juniper, Burgio, Giulio, Gleeson, James P., Redner, S., Krapivsky, P. L.
Models of how things spread often assume that transmission mechanisms are fixed over time. However, social contagions--the spread of ideas, beliefs, innovations--can lose or gain in momentum as they spread: ideas can get reinforced, beliefs strengthe
Externí odkaz:
http://arxiv.org/abs/2411.00714
Autor:
Giannotta, Alessandro, Yoko, Matthew, Cherubini, Stefania, De Palma, Pietro, Juniper, Matthew P.
We perform twenty experiments on an acoustically-forced laminar premixed Bunsen flame and assimilate high-speed footage of the natural emission into a physics-based model containing seven parameters. The experimental rig is a ducted Bunsen flame supp
Externí odkaz:
http://arxiv.org/abs/2407.03701
We formulate and solve a Bayesian inverse Navier-Stokes (N-S) problem that assimilates velocimetry data in order to jointly reconstruct a 3D flow field and learn the unknown N-S parameters, including the boundary position. By hardwiring a generalised
Externí odkaz:
http://arxiv.org/abs/2406.18464
We propose a fast probabilistic framework for identifying differential equations governing the dynamics of observed data. We recast the SINDy method within a Bayesian framework and use Gaussian approximations for the prior and likelihood to speed up
Externí odkaz:
http://arxiv.org/abs/2402.15357
Generative AI tools are used to create art-like outputs and sometimes aid in the creative process. These tools have potential benefits for artists, but they also have the potential to harm the art workforce and infringe upon artistic and intellectual
Externí odkaz:
http://arxiv.org/abs/2401.15497
Autor:
Cocomello, Juniper, Ramanan, Kavita
We study the Susceptible-Infected-Recovered (SIR) and the Susceptible-Exposed-Infected-Recovered (SEIR) models of epidemics, with possibly time-varying rates, on a class of networks that are locally tree-like, which includes sparse Erd\H{o}s-R\`enyi
Externí odkaz:
http://arxiv.org/abs/2309.08829
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track. ECML PKDD 2023. Lecture Notes in Computer Science, vol 14175 pp. 335-339
$\chi$iplot is an HTML5-based system for interactive exploration of data and machine learning models. A key aspect is interaction, not only for the interactive plots but also between plots. Even though $\chi$iplot is not restricted to any single appl
Externí odkaz:
http://arxiv.org/abs/2306.12110
Autor:
Mikaela Irene Fudolig, Laura S.P. Bloomfield, Matthew Price, Yoshi M. Bird, Johanna E. Hidalgo, Julia N. Kim, Jordan Llorin, Juniper Lovato, Ellen W. McGinnis, Ryan S. McGinnis, Taylor Ricketts, Kathryn Stanton, Peter Sheridan Dodds, Christopher M. Danforth
Publikováno v:
Digital Biomarkers, Vol 8, Iss 1, Pp 120-131 (2024)
Introduction: Wearable devices are rapidly improving our ability to observe health-related processes for extended durations in an unintrusive manner. In this study, we use wearable devices to understand how the shape of the heart rate curve during sl
Externí odkaz:
https://doaj.org/article/bd71f91bbf4a49b9ae014b26a95f2817
Collecting personally identifiable information (PII) on data subjects has become big business. Data brokers and data processors are part of a multi-billion-dollar industry that profits from collecting, buying, and selling consumer data. Yet there is
Externí odkaz:
http://arxiv.org/abs/2302.08936